Geo-LoFTR is a geometry-aided deep learning model for map-based localization that outperforms prior methods under large illumination and scale variations on simulated and real Mars imagery.
McEwen, Eric M
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The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.
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Geometry-aided Vision-based Localization of Future Mars Helicopters in Challenging Illumination Conditions
Geo-LoFTR is a geometry-aided deep learning model for map-based localization that outperforms prior methods under large illumination and scale variations on simulated and real Mars imagery.
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Machine Learning as a Transformative Tool for (Exo-)Planetary Science
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.